Display personalized recommendations of newly released products based on each shopper’s affinities and preferences

ID #

198

Introduction

Merchandisers constantly attempt to enhance on-site product offerings by promoting new products, brands, styles, and even new colors of existing products. Using Evergage, you can remove the guesswork by automating this process and displaying personalized recommendations of newly released products based on each shopper’s affinities and preferences.

Example

Using Evergage Recommendations, you can provide individuals with a list of newly released products based on the shopper’s favorite category, brand or style. This tactic drives product discovery and increases engagement.

Segment

No segments are needed for this play.

Measure

You can measure the effectiveness of this Recommendations campaign by tracking revenue per user, conversion rate, and average order value. Depending on the placement of the “new releases” recommendation campaign, other top of the funnel engagement measurements such as the number of product views and time spent will also provide valuable insight.

Process

Here is a checklist of what you need to do in Evergage to create this play on your own site:

Create a new recipe with "Most Recently Published" ingredient and any other boosters or exclusion needed

Create a new campaign with a inline message (or modify an existing Recommendations campaign) and adjust the Message Settings to point to this Recommendations recipe

Reference Materials

The following articles from the Evergage Knowledge Base will provide process steps to help you execute this play: